A case study: semantic integration of gene–disease associations for type 2 diabetes mellitus from literature and biomedical data resources-Reference-Cited by-同舟云学术

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A case study: semantic integration of gene–disease associations for type 2 diabetes mellitus from literature and biomedical data resources

Published:2014-07 Issue:7 Volume:19 Page:882-889
ISSN:1359-6446
Container-title:Drug Discovery Today
language:en
Short-container-title:Drug Discovery Today

Author:

Rebholz-Schuhmann Dietrich,Grabmüller Christoph,Kavaliauskas Silvestras,Croset Samuel,Woollard Peter,Backofen Rolf,Filsell Wendy,Clark Dominic

Funder

Pistoia Alliance

Publisher

Elsevier BV

Subject

Drug Discovery,Pharmacology

Reference87 articles.

1. Learning from molecular genetics: novel insights arising from the definition of genes for monogenic and type 2 diabetes;McCarthy;Diabetes,2008

2. Genetics of type 2 diabetes mellitus and other specific types of diabetes; its role in treatment modalities;Kota;Diabetes Metab. Syndr.,2012

3. Personalized medicine in diabetes;Malandrino;Clin. Chem.,2011

4. Genetics of type 2 diabetes: pathophysiologic and clinical relevance;Herder;Eur. J. Clin. Invest.,2011

5. Progress in defining the molecular basis of type 2 diabetes mellitus through susceptibility-gene identification;McCarthy;Hum. Mol. Genet.,2004

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1. EMBL’s European Bioinformatics Institute (EMBL-EBI) in 2023;Nucleic Acids Research;2023-11-28

2. Analyzing a co-occurrence gene-interaction network to identify disease-gene association;BMC Bioinformatics;2019-02-08

3. Biomedical Semantic Resources for Drug Discovery Platforms;Lecture Notes in Computer Science;2017

4. Improving chemical disease relation extraction with rich features and weakly labeled data;Journal of Cheminformatics;2016-10-07

5. Semantics based approach for analyzing disease-target associations;Journal of Biomedical Informatics;2016-08

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